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Determinants of Innovation

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Author Info
Mita Bhattacharya ()
Harry Bloch

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Abstract

The study examines how firm size, market structure, profitability and growth influence innovative activity in small to medium sized Australian manufacturing businesses, using the recently released Confidentialised Unit Record File drawn from the Business Longitudinal Survey of the Australian Bureau of Statistics. Regression analysis is conducted to determine the factors that effect subsequent innovative activity for the full sample of businesses, as well as for sub-samples of firms from high and low-technological opportunity industries. Most variables, including size, R&D intensity, market structure and trade shares are found to be conducive to further innovative activity for the full sample and for high-tech firms. For low-tech industries, fewer variables are significant.

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File URL: http://journals.kluweronline.com/issn/0921-898X/contents
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Publisher Info
Article provided by Springer in its journal Small Business Economics.

Volume (Year): 22 (2004)
Issue (Month): 2 (03)
Pages: 155-162
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Handle: RePEc:kap:sbusec:v:22:y:2004:i:2:p:155-162

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Web page: http://www.springerlink.com/link.asp?id=100338

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  1. Andreas Hartmann, 2006. "The context of innovation management in construction firms," Construction Management & Economics, Taylor and Francis Journals, vol. 24(6), pages 567-578, June. [Downloadable!] (restricted)
  2. Paul Robson & Helen Haugh & Bernard Obeng, 2009. "Entrepreneurship and innovation in Ghana: enterprising Africa," Small Business Economics, Springer, vol. 32(3), pages 331-350, March. [Downloadable!] (restricted)
  3. Christian Rammer & Dirk Czarnitzki & Alfred Spielkamp, 2009. "Innovation success of non-R&D-performers: substituting technology by management in SMEs," Small Business Economics, Springer, vol. 33(1), pages 35-58, June. [Downloadable!] (restricted)
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This page was last updated on 2009-11-25.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.